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Purpose – To investigate the potential future role of information delivery in terms of reducing transport-related emissions. The assumed response of travellers to information and the notions of content and context are provided, together with factors that can determine an individual's propensity to seek and engage with travel information.

Methodology/approach – A review of information use, the behavioural stages of change and context design is undertaken, incorporating a research case study in the use of framing.

Findings – Recent theoretical and empirical insights into behavioural change provide new insights into the role of information in reducing transport-related emissions. Traveller information offers many benefits to the user and could be influential in affecting travel behaviour change, although there are socio-psychological factors outside the control of information service designers that also need to be considered, such as the ‘stage of change’ people are at in relation to a change in behaviour.

Originality/value – The chapter examines how travel information could go beyond the provision of trip choice data and incorporate contextual elements to make it more effective. Concepts related to the Transtheoretical Model (stages of change) and the latest thinking in behavioural economics are discussed in relation to an increase in the likelihood of environmental travel alternatives being considered and chosen.

Purpose: The goal of this study is to delve into the causes behind the Fintech sector’s rise in various areas and its prospects. Fintech is rapidly expanding because of government legislation, multiple schemes, consumer expectations, a cashless economy, digitisation, globalisation, innovation, and other drivers.

Need for the Study: Fintech firms are forming alliances with traditional financial organisations to stay afloat and compete. India is becoming a superpower regarding e-startups, especially unicorns. Many startups are undergoing initial public offerings (IPOs). Fintech is an emerging space in India, spreading its wings rapidly in every sector.

Methodology: This work is based on a literature review. It utilises secondary data from numerous research publications, magazines, newspapers, published reports, relevant websites, Forbes magazine articles, stories from The Economic Times, the RBI Portal, and information from StartupIndia, Assocham, and Pwc, among others, to develop a conceptual framework showing the growth drivers of Fintech.

Findings: The whole world has been affected severely due to COVID-19. Crisis always comes with some opportunity, and it is up to us how to turn the calamities into opportunities that further turn into innovation that has the power to lead the world. Fintech is that fruit that had been born normally but grew abnormally (tremendous growth) during the pandemic. Also, the roots are so deeper that they will flourish more and more. It has been found that the emergence of a cashless economy, ease of internet connectivity, etc., are the major factors that paved the way for growth for Fintech in India.

Practical Implications: This study contains the conceptual framework which can guide the stakeholders, policymakers, management teams, field experts, etc., in knowing about their area expertise and looking for improvement, if any.

Originality: There are many papers on the relationship between Fintech and financial inclusion, but this is the first study that builds the conceptual framework for the growth drivers of Fintech.

Blockchain is creating many opportunities for business as it is transforming the way sustaining technologies operate in organizations. In blockchain, transactions are recorded as digital blocks and contain immutable properties to preserve data validation, encryption, and algorithms. The goal is to provide uniqueness and resistant to fraud. For example, digital currencies use a shared network to permanently record transactions but operate in decentralized mode to secure independence among participants. The potential applications of blockchain are unlimited and proliferating although several initiatives are still in development. Many industries are already capitalizing on experimental blockchain projects. Leaders in those industries are partnering with R&D and start-up companies to determine opportunities. Also, research universities have dedicated labs to focus on new theoretical concepts or improvements that can be leveraged in healthcare, global rights management, and decentralized publishing to name a few. Blockchain is called as “trustless system” because it can disrupt entire industries. This chapter explores the blockchain origins and its underlying technologies to understand concepts and become familiar with the latest development. A crypto-digital currency like Bitcoin will be introduced in some detail to bring awareness to the benefits, risks, and ethical concerns. A discussion on regulations will be included to investigate how government policy affects cryptocurrencies and related security. In the interest of blockchain inspired projects, the chapter will also introduce a broader discussion on new ventures adopting blockchain attributes and the trends of gradual technology implementation among early adapters.

Jelinek has developed a multi-level model for conceptualizing the contextual influences through which intellectual property (IP) is “understood, interpreted and made sense of” by key parties to IP “deals.” This commentary reflects upon that model through a historical examination of industry–university relationships in one case – specifically, IBM. Since the late 1920s, IBM has encouraged multifaceted relationships with universities. From the start, IBM sought relationships with academia not only because of the market potential represented by university campuses, but also because Thomas Watson Sr. viewed academic customers as potential research collaborators, a novel idea at the time that later proved instrumental in the development of the corporation's successful research enterprise. IBM's university relationships have continued to evolve over time, reflecting shifts in the corporation's business strategy, and changes in larger macroeconomic structures. The case of IBM reveals complex interactions among governmental, corporate, and academic actors and their policies at different points in time, providing support for Jelinek's multi-level approach to framing IP dynamics, and suggesting possible refinements of the model for the future.

Group incentive schemes have been shown to be positively associated with firm performance but it remains an open question whether this association can be explained by the motivating characteristics of the group-incentive scheme itself, or if this is due to factors that tend to accompany group-incentive schemes. We use a controlled experiment to directly test if group-incentive schemes can motivate sustained individual effort in the absence of rules, norms, and institutions that are known to mitigate free-riding behavior.

We use a controlled lab experiment that randomly assigns subjects to one of three compensation contracts used to incentivize an onerous effort task. Two of the compensation contracts are group-incentive schemes where subjects have an incentive to free-ride on the efforts of their coworkers, and the third (control) is a flat-wage contract.

We find that both group-incentive schemes resulted in sustained, higher performance relative to the flat-wage compensation contract. Further, we do not find evidence of free-riding behavior under the two group-incentive schemes.

Although we do find sustained cooperation/performance over the three work periods of our experiment under the group-incentive schemes, further testing would be required to evaluate whether group-incentive schemes can sustain cooperation over a longer time horizon without complementary norms, policies, or institutions that mitigate free-riding.

By unambiguously showing that group-incentive schemes can, by themselves, motivate workers to provide sustained levels of effort, this suggests that the “1/n problem” may be, in part, an artifact of the rational-actor modeling conventions.

In his autobiography, Chen Shui-bian (1999, p. 40) condemned the Koumintang's (KMT's) corruption and praised the Democratic Progressive Party (DPP) for being free from money politics and corruption. The DPP fought the 1992 Legislative Yuan election campaign effectively on an anticorruption platform and used the same strategy in subsequent elections. If Chen Shui-bian had criticized the KMT for its involvement with “black gold” politics and had won the 2000 presidential election on his anticorruption platform, why was he and his family found guilty of corruption after his second term of office? The short answer is that even though he had promised to curb corruption, President Chen himself had succumbed to corruption after assuming office. In June 2002, Keesing's Contemporary Archives cited a poll in Taiwan that indicated that more respondents had perceived the DPP to be more corrupt than the KMT (Copper, 2006, p. 14).

Purpose – European studies of alternative food networks have covered primarily rural or periurban initiatives that connect producers and consumers directly. For the most part, those studies overlook nonprofit urban community initiatives. This chapter begins to address the gap by presenting preliminary findings from a study that examines the development of community food initiatives that sell green produce in London.

Design/methodology/approach – The first part of the chapter draws on content analysis of literature produced by 15 initiatives and presents a brief overview. The second part presents case study analysis of the organizational, physical, and social context of two of the initiatives.

Findings – The findings indicate that many urban green produce initiatives have an explicit emphasis on the demand side of the producer–consumer connection. Those that emphasize sustainably produced food and fair trade may have difficulty drawing low-income customers, even if located in areas with high levels of deprivation. Initiatives oriented toward basic food access rather than sustainability are expanding their scope to include more “local” food.

Originality/value – Although this study does not represent urban green produce initiatives throughout England or beyond, it provides some examples of how such initiatives can develop and the extent to which they claim social justice and environmental considerations in their efforts. This study is a step toward empirical examination of nonprofit urban green produce initiatives, and contributes to a broader, more inclusive conceptualization of alternative food networks.

The chapter Technological Advances in Special Education provides information on advances of technology and how such technological advances have influenced students with disabilities and special education across the globe. The chapter presents technological advances that benefited students with disabilities in developed countries as well as potential technologies to support students with disabilities in developing countries. The scant exiting literature on developing countries suggests some universal themes regarding technology for students with disabilities including access and training. Additional attention and research is needed on assistive technology to support students with disabilities in both developed and developing countries, with recognition that what works is developed counties may not work in developing.

Law enforcement agents enforce rules that they might transgress in their private lives. Building from a theory of “hypocrisy aversion” where agents incur psychological costs from imposing a sanction on others for rules that they might break, the authors design a two-player game in which players are simultaneously placed in the roles of enforcer and potential transgressor. In this model, discretionary enforcement is endogenous to the size of the sanction. Conditional on rewards to enforcement and punishment that are both sufficiently small in the status quo, the authors demonstrate that price effects can be dominated by second-order hypocrisy effects, leading to rates of transgression that increase with larger sanctions. The authors test the model within a laboratory experiment where individuals can simultaneously gamble at the expense of a third party and punish those they observe gambling. Examining the comparable testable predictions of models of (i) selfish agents, (ii) pro-social agents, and (iii) pro-social agents who are averse to hypocrisy, the authors find evidence of hypocrisy aversion in the rates of gambling, sanctioning, and the changing composition of agent strategies. Our results suggest that increasing sanctions can backfire in the deterrence of common criminal and non-criminal offenses.